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JevStation
Typed decisions for your code: probabilities, not prose
JevStation gives your code decisions instead of text. Send a ticket, review, tool call or model answer, ask up to 12 Choice, Score or Noul questions, and get typed answers with probabilities and a confidence value, nothing to parse. Run Jev (System One) plus Cloudflare Clef, Perplexity Decider, OpenAI Luna Decisions and Microsoft-Decision-1 on one key via playground, REST API, MCP server or batch spreadsheets. Try it free, no sign-up.
Hi Product Hunt, I'm the maker of JevStation.
The problem: most "AI decisions" in production are a chat model asked to reply in JSON, then parsed, retried and hoped for. You count tokens, handle malformed output, and get no real confidence number.
JevStation is the other approach. Decision models (Jev, Cloudflare Clef, Perplexity Decider, OpenAI Luna Decisions, Microsoft-Decision-1) take a state and typed questions (Choice, Score, Noul) and return the answer with its full probability distribution and a confidence value. No prose, nothing to parse, so your code can threshold and branch directly.
What you can do today:
- Try it with no sign-up in the playground, with presets for sentiment, intent, ticket triage, moderation and more
- Call it from the REST API or the MCP server (agents can use it to guard tool calls, route models or moderate text)
- Run spreadsheets through the batch engine, for example review sentiment, lead scoring or a site SEO audit
- Compare the decision models side by side on one key
Pricing is simple: a standard evaluation costs 1 credit, a failed one costs 0 (refunded automatically), and new accounts get 200 free credits.
I'd love to hear which decisions you would put behind a threshold, and which question types are missing. Happy to answer anything.
About JevStation on Product Hunt
“Typed decisions for your code: probabilities, not prose”
JevStation was submitted on Product Hunt and earned 10 upvotes and 2 comments, placing #109 on the daily leaderboard. JevStation gives your code decisions instead of text. Send a ticket, review, tool call or model answer, ask up to 12 Choice, Score or Noul questions, and get typed answers with probabilities and a confidence value, nothing to parse. Run Jev (System One) plus Cloudflare Clef, Perplexity Decider, OpenAI Luna Decisions and Microsoft-Decision-1 on one key via playground, REST API, MCP server or batch spreadsheets. Try it free, no sign-up.
On the analytics side, JevStation competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how JevStation performed against the three products that launched closest to it on the same day.
Who hunted JevStation?
JevStation was hunted by Deland Wu. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of JevStation including community comment highlights and product details, visit the product overview.
Deland Wu